code: def test_image_and_back_wrong_shape(self):
      data = Tensor.randn(9 * 27 * 4).realize()
      tst = data.numpy()
      it = data.cast(dtypes.imagef((9, 12, 4))).realize()
      assert not isinstance(it.lazydata.base.realized.dtype, ImageDType)
      np.testing.assert_equal(tst, it.numpy())
  
file_path: tinygrad/test/test_image_dtype.py
imports: import unittest
  import numpy
  from tinygrad import Device, dtypes, Tensor, Variable
  from tinygrad.dtype import ImageDType
  from tinygrad.features.image import to_image_idx
label_desc: Use image node_id 2 for calling the TestImageDType obj's underlying member method code with example usage: obj.test_image_and_back_wrong_shape() without return types